full_teacher
Built by jiayicheng, full_teacher is an chat model. full_teacher is an open-weights chat model.
by jiayicheng
Best for
Ways to use full_teacher in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jiayicheng API key. osFoundry discovers full_teacher automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
full_teacher is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
full_teacher vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about full_teacher
Is full_teacher free to use?
full_teacher is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use full_teacher commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run full_teacher locally?
Yes. full_teacher is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is full_teacher best at?
full_teacher is well-suited to text generation.
How do I use full_teacher in osFoundry?
Paste your jiayicheng API key in the key dialog (or deploy the open weights for self-hostable models), assign full_teacher to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jiayicheng on April 30, 2026. Source: https://huggingface.co/jiayicheng/full_teacher